Abstract P5-07-11: BHLHE40-AS1 is an enhancer associated noncoding RNA critical to breast cancer progression
Bibliographic record
Abstract
Abstract Increased emphasis on breast cancer screening has led to a dramatic increase in diagnosis of ductal carcinoma in situ (DCIS). DCIS lesions are nonobligate precursors of invasive ductal carcinoma (IDC) and thus, the current standard-of-care is aggressive therapy to prevent invasive and metastatic disease. However, only ˜40% of DCIS cases are predicted to progress leading to a current state of overtreatment and overdiagnosis. Thus, there is a critical need to identify functional determinants of progression of DCIS to IDC to allow discrimination between indolent and aggressive breast cancers and refine patient treatment strategies. We propose that long noncoding RNAs (lncRNAs) functionally drive breast cancer progression and their expression can discriminate between innocuous and potentially invasive DCIS. Using biopsies from women with tandem DCIS and IDC lesions, we identified the lncRNA BHLHE40-AS1 as enriched in patient IDC. Furthermore, BHLHE40-AS1 is enriched in multiple breast cancer progression models, in HER2+ cell lines, and can be induced by expression of HER2. BHLHE40-AS1 is transcribed from a known super-enhancer that we find becomes rewired in breast cancer progression. In addition, the lncRNA is found antisense to BHLHE40, a transcription factor critical to many core processes (apoptosis, EMT, circadian rhythm). Depletion of the lncRNA attenuates expression of BHLHE40. Future studies are focused on mechanistically elaborating its function, its impact on the associated enhancer and chromatin looping, and determining the utility of BHLHE40-AS1 as a clinically relevant biomarker and therapeutic target in invasive breast cancer. Citation Format: DeVaux RKS, Schimjawicz H, Coarfa C, Behbod F, Herschkowitz JI. BHLHE40-AS1 is an enhancer associated noncoding RNA critical to breast cancer progression [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-07-11.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".